scholarly journals Pendekatan Penentuan Bobot dengan Surrogate Weighting Procedures untuk Metode Simple Additive Weighting dalam Pengambilan Keputusan Multikriteria

2019 ◽  
Vol 3 (3) ◽  
pp. 113
Author(s):  
I Gede Iwan Sudipa ◽  
Komang Sri Aryati
Keyword(s):  
Rank Order ◽  
Equal Weight ◽  
Simple Additive Weighting ◽  
Weighting Procedures

Penentuan bobot multikriteria dalam pengambilan keputusan menjadi suatu kesulitan bagi pengambil keputusan, penentuan bobot diperlukan untuk melakukan evaluasi kriteria. Namun dalam beberapa situasi pengambil keputusan  tidak percaya diri atau tidak memiliki pengetahuan untuk mendefinisikan nilai preferensi untuk bobot dan lebih menyukai menggunakan informasi parsial dan penilaian subyektif terhadap bobot kriteria. Salah satu cara penentuan bobot adalah dengan menentukan urutan prioritas kriteria dan menggunakan Surrogate Weight (bobot pengganti) untuk menentukan bobot sesuai dengan jumlah kriteria yang digunakan. Dalam penelitian ini mengimplementasikan Surrogate Weight Procedures yang terdiri dari Rank Sum(RS), Rank Reciprocal(RR), Rank Order Centroid(ROC) dan Equal Weight(EW) untuk menentukan bobot dan metode Simple Additive Weighting (SAW) untuk melakukan perankingan. Simulasi kasus yang digunakan yaitu seleksi pemberian beasiswa PPA (Peningkatan Prestasi Akademik) dengan  9 kriteria dan 22 alternatif. Hasil pengujian dalam penelitian ini yaitu analisis perbandingan hasil akhir alternatif dari kombinasi metode RS-SAW, RR-SAW, ROC-SAW dan EW-SAW .Kata Kunci : Multikriteria,Surrogate Weight, SAW

PENERAPAN METODE SAW (SIMPLE ADDTIIVE WEIGHTING ) DAN ROC (RANK ORDER CENTROID) DALAM PEMILIHAN SISWA-SISWA BERPRESTASI DI SMP NEGERI 44 MEDAN

2021 ◽  
Vol 6 (1) ◽  
pp. 52
Author(s):  
Erni Weldus Sihombing ◽  
Damayanti Lumban Gaol ◽  
Wydia Tiara Lumban Gaol ◽  
Muhardi Saputra
Keyword(s):  
Rank Order ◽  
Simple Additive Weighting

<em>Siswa – Siswi SMP Negeri 44 merupakan salah satu Sekolah Negeri yang mempunyai murid yang banyak. Murid yang banyak juga akan memiliki karakter dan penilaian yang berbeda pada setiap orangnya. Penilaian pelajaran pada setiap siswa – siswi kadang memiliki hasil yang hampir mirip. Hal ini juga dapat membuat kesulitan bagi Guru – Guru untuk dapat menentukan siswa – siswi berprestasi. Proses analisis nilai pada setiap murid juga mengakibatkan waktu yang lama untuk menyimpulkan siapa saja yang akan mendapatkan prestasi sebagai siswa – siswi berprestasi. Untuk itu menurut penulis dibutuhkan suatu sistem yang dapat menganalisis dan mengelola nilai pelajaran setiap murid agar menghasilkan siswa – siswi berprestasi. Penggabungan dua metode ROC (Rank Order Centroid) dan SAW (Simple Additive Weighting) merupakan solusi yang baik untuk dapat menganalisis kriteria penilaian untuk menghasilkan penentuan siswa – siswi berprestasi. Hasil penelitian dari perhitungan penggabungan kedua metode menunjukkan bahwa Murid D sebagai murid berprestasi pada kelas VII A SMP Negeri 44 Medan. Maka diharapkan kedepannya pihak Guru dapat dengan cepat dan tepat dalam menentukan siapa siswa – siswi berprestasi pada kelas lainnya.</em>

scholarly journals Sistem Pendukung Keputusan Seleksi Bantuan Siswa Miskin Menerapkan Kombinasi Metode SAW dan ROC

2019 ◽  
Vol 3 (4) ◽  
pp. 376
Author(s):  
Andri Yunaldi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Decision Makers ◽  
Poor Students ◽  
Selection Decision ◽  
Student Assistance ◽  
Simple Additive Weighting

Decision support system (DSS) is a system that helps decision makers in this case the principal, so that the decisions produced are considered effective and appropriate to solve the problems faced. Specifically in determining the provision of assistance to poor students, the determination of the criteria is aimed at making the recipient of the assistance in accordance with the purpose of the assistance itself. In this study, the authors applied a combination of SAW and ROC methods in selecting beneficiaries. ROC (Rank Order Centroid) is a method that can produce weight values, while Simple Additive Weighting (SAW) is a method used to rank poor prospective student assistance recipients as an alternative. The results of the study are expected to contribute to the development of science, especially the principal in the selection decision for recipients of poor student assistance

scholarly journals Penerapan Kombinasi Metode Simple Additive Weighting (SAW) dan Rank Order Centroid (ROC) dalam Keputusan Pemberian Kredit

2019 ◽  
Vol 3 (4) ◽  
pp. 371
Author(s):  
Silvilestari Silvilestari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Important Process ◽  
Final Value ◽  
Judicial Decisions ◽  
Simple Additive Weighting

Lending is a very important process for credit managers. Incorrect in making decisions for credit recipients will result in failure in payment of credit bills. In order for decisions made by credit managers to be more precise, a decision support system (DSS) is needed in their calculations. In this study, the authors used a combination of Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods in producing final preference values that are useful in ranking the judicial decisions of potential credit customers. The results of the study will provide the final value that can help credit managers in the effectiveness of credit recipient decisions.

scholarly journals Analisis Sensitivitas AHP-SAW dan ROC-SAW dalam Pengambilan Keputusan Multikriteria

2019 ◽  
Vol 3 (2) ◽  
pp. 85
Author(s):  
I Gede Iwan Sudipa ◽  
Ida Ayu Dwi Puspitayani
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Rank Order ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Beasiswa merupakan salah satu upaya yang dilakukan pemerintah dalam mendorong dan membantu potensi kemajuan pendidikan di negara Indonesia, salah satunya adalah beasiswa Peningkatan Prestasi Akademik(PPA) sehingga diperlukan seleksi penerima beasiswa untuk menentukan penerima beasiswa yang sesuai dengan kriteria penilaian. Permasalahan seleksi beasiswa termasuk kedalam permasalahan Multi Attribute Decision Making (MADM). Penelitian ini menganalisis masalah MADM yaitu pemberian beasiswa dengan menggunakan kombinasi metode Analytical Hierarchy Process (AHP), Simple Additive Weighting(SAW) dan model pemberian bobot Rank Order Centroid(ROC). Pengujian metode yang sesuai dilakukan dengan melakukan analisis sensitivitas untuk mengetahui kombinasi metode yang paling sensitif dalam menghasilkan perankingan akhir penerima beasiswa. Dari hasil pengujian analisis sensitivitas kombinasi ROC-SAW menghasilkan nilai sensitivitas terkecil dengan nilai 0.000144, dan dari 18 percobaan perubahan bobot yang dilakukan untuk mengetahui perubahan ranking hasil akhir didapatkan hasil bahwa metode AHP-SAW menghasilkan perubahan ranking dengan persentase 80,56% dari ranking awal, dan ROC-SAW menghasilkan perubahan ranking dengan persentase 90,83% dari ranking awal. Kata Kunci: Analisis Sensitivitas, AHP-SAW, ROC-SAW, Multikriteria 

scholarly journals Comparative Analysis of Simple Additive Weighting Method and Weighted Product Method to New Employee Recruitment Decision Support System (DSS) at PT. Warta Media Nusantara

2017 ◽  
Vol 4 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Agus Setyawan ◽  
Florentina Yuni Arini ◽  
Isa Akhlis
Keyword(s):  
Decision Making ◽  
Calculation Method ◽  
Execution Time ◽  
Rank Order ◽  
Rigorous Result ◽  
Weighting Method ◽  
New Employees ◽  
The Difference ◽  
Simple Additive Weighting ◽  
Time Required

Issue handling of inadvertence situations in the decision-making process of recruiting new employees at PT. Warta Media Nusantara that use criteria value of interviews, field test, a psychological test and medical check-up requires Multi Attribute Decision Making (MADM) as an auxiliary method of decision-making on the prospective eligible employee to be accepted in the company. There are various MADM methods, such as Simple Additive Weighting (SAW) method and Weighted Product (WP) method. Both of these methods are known as the most common method used in handling MADM issues, so in this study both methods are applied to the DSS and analyzed the differences in terms of obtained results and the execution time required for each method. The results of the study of the application of SAW and WP methods in the recruitment of new employees DSS there are some differences in the results of the candidates rank order and the differences in execution time of each method. The differences in rank order of these methods are due to the effects of alternative values, weighting criteria, and the calculation method. WP method is able to provide more rigorous result than SAW method, while the difference in execution time of SAW and WP methods explains that the execution time of SAW method relatively quick because SAW calculation method has a simpler process than the process of WP calculation methods

scholarly journals IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019)

2019 ◽  
Vol 8 (4) ◽  
pp. 428-438
Author(s):  
Eva Salsa Nabila ◽  
Rita Rahmawati ◽  
Tatik Widiharih
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Selection Process ◽  
Rank Order ◽  
Average Percentage ◽  
New Students ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Academic Potential ◽  
Selection Of

Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the  weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method.                                                   Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.

scholarly journals DECISION SUPPORT SYSTEM DENGAN METODE AHP, SAW DAN ROC UNTUK PENENTUAN PEMBERIAN BEASISWA (STUDI KASUS : STMIK STIKOM INDONESIA)

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
I Gede Iwan Sudipa
Keyword(s):  
Rank Order ◽  
Objective Assessment ◽  
Electrical Power ◽  
Linear Interpolation ◽  
Analytic Hierarchy ◽  
Detailed Model ◽  
Simple Additive Weighting ◽  
The Right ◽  
The University ◽  
Hierarchy Process

STIKOM STIMIK Indonesia (STIKI) is one of the university that provides scholarships for<br />students, manual assessment have the weakness that is inefficient and potentially not objective, in<br />addition to supporting the principles of the right on target scholarships then the selection criteria<br />should be in detailed model so that the scholarship grantee is a student in accordance with the<br />criteria or requirements that have been determined. In fulfilling the principles of the right on<br />target and objective assessment, this research used MADM model by combining the Analytic<br />Hierarchy Process (AHP), Rank Order Centroid (ROC) and Simple Additive Weighting (SAW).<br />AHP is used to determine the weighting of criteria and sub criteria, the ROC is used to determine<br />the scoring championship level and championship field,interpolation is used to determine the<br />value of salary data and electrical power, while SAW is used to find the final result and<br />determining the rank. Result of this research show thats the same best alternative for scholarship<br />receipts between manual calculations, system calculations and STIKI calculations. Differences<br />result of the rank on some alternate sequence due to difference in weight is given and difference<br />criteria used. Resulted of rank in this research that can serve as recommendations for Puket III<br />todetermining scholarship PPA and BBP recipients.<br />Keywords: MADM, AHP, ROC, SAW,Linear Interpolation, Scholarship<br />ABSTRAK<br />STIKOM Indonesia (STIKI) merupakan salah satu lembaga pendidikan perguruan tinggi yang<br />memberikan beasiswa PPA dan BBP kepada mahasiswanya, penilaian secara manual memiliki<br />kelemahan yaitu tidak efisien dan berpotensi tidak obyektif, disamping itu untuk menunjang<br />prinsip tepat sasaran pemberian beasiswa maka kriteria yang digunakan dalam seleksi harus<br />dimodelkan dengan detail sehingga penerima beasiswa merupakan mahasiswa yang sesuai dengan<br />kriteria-kriteria atau persyaratan yang telah ditentukan. Dalam mendukung prinsip tepat sasaran<br />dan penilaian lebih obyektif maka penelitian ini menggunakan model MADM dengan<br />menggabungkan Analytic Hierarchy Process (AHP), Rank Order Centroid (ROC) dan Simple<br />Additive Weighting (SAW). AHP digunakan untuk menentukan bobot kriteria dan sub kriteria,<br />ROC digunakan untuk menentukan skoring data tingkat kejuaraan dan bidang kejuaraan,<br />interpolasi digunakan untuk menentukan nilai dari data gaji dan daya listrik, sedangkan metode<br />SAW digunakan untuk mencari nilai akhir dan perankingan. Hasil dari penelitian ini<br />menunjukkan alternatif terbaik yang sama untuk perhitungan sistem, perhitungan manual, serta<br />perhitungan yang dilakukan pada STIKI. Perbedaan perankingan pada beberapa urutan alternatif<br />disebabkan karena perbedaan bobot yang diberikan dan perbedaan kriteria yang digunakan. Hasil<br />perankingan penelitian dapat dijadikan rekomendasi untuk Puket III dalam menentukan mahasiswa<br />penerima beasiswa<br />Kata Kunci : MADM, AHP, ROC, SAW, Interpolasi Linear, Beasiswa

scholarly journals Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menerapkan Kombinasi Metode Simple Additive Weighting (SAW) dengan Rank Order Centroid (ROC)

2019 ◽  
Vol 3 (4) ◽  
pp. 366
Author(s):  
Muliati Badaruddin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Rank Order ◽  
Employee Performance ◽  
Ranking Methods ◽  
Weighting Method ◽  
Simple Additive Weighting

This research discusses the combination of Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods to produce company manager's decisions in evaluating employee performance. The results of employee performance appraisal are expected to be more effective and objective due to the support of the decision support system used. Many studies have been conducted in performance appraisal using the Simple Additive Weighting method, but have not or do not use good weighting. With a combination of weighting and ranking methods, the outcome of the decision will certainly be more effective.

scholarly journals Penentuan Lokasi Stup Menggunakan Pembobotan Rank Order Centroid (ROC) dan Simple Additive Weighting (SAW)

2020 ◽  
Vol 15 (1) ◽  
pp. 48-53
Author(s):  
I Made Arya Budhi Saputra
Keyword(s):  
Rank Order ◽  
Simple Additive Weighting

Salah satu sumber daya alam yang dimiliki Indonesia adalah produk hasil hutan bukan kayu yang di mana saat ini menjadi salah satu prioritas pengembangan dari Kementerian Lingkungan Hidup dan Kehutanan. Komoditas yang menjadi unggulan dari produk hasil bukan kayu adalah madu. Walaupun mudah dalam pemeliharaan, namun jumlah produksi dari madu Trigona di daerah Kerandangan belum cukup optimal hal tersebut dikarenakan para kelompok tani saat ini masih mengalami kebingungan dalam menentukan lokasi stup (rumah lebah). Sering kali para petani salah dalam menentukan lokasi stup, yang menyebabkan lebah tidak dapat menghasilkan madu secara maksimal. Penggunaan metode Rank Order Centroid (ROC) pada penelitian ini untuk membantu kelompok tani dalam pemberian bobot kriteria berdasarkan tingkat kepentingannya. Selanjutnya bobot tersebut digunakan dalam perhitungan Simple Additive Weighting (SAW). Di mana penggunaan metode ini dirasa cukup mudah untuk dipahami para kelompok tani. Konsep dasar metode ini adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif di semua atribut. Hal ini dapat membantu kelompok tani dalam menentukan lokasi stup.

Effects of compression during formation on the microstructure of composite hydroxylapatite/plaster implants for bone reconstruction

1988 ◽  
Vol 46 ◽  
pp. 750-751
Author(s):  
J. Hanker ◽  
K. Cowden ◽  
R. Noecker ◽  
P. Yates ◽  
N. Georgiade ◽  
...  
Keyword(s):  
Cosmetic Surgery ◽  
Glass Plate ◽  
Surgical Reconstruction ◽  
Equal Weight ◽  
Sintered Ceramic ◽  
Setting Times ◽  
Excess Water ◽  
Mixture Prior ◽  
Mechanical Strengths ◽  
Calcium Sulfate Hemihydrate

Composites of plaster of Paris (PP) and hydroxylapatite (HA) particles are being applied for the surgical reconstruction of craniofacial bone defects and for cosmetic surgery. Two types of HA particles are being employed, the dense sintered ceramic (DHA) and the porous, coralline hydroxylapatite (PHA) particles. Excess water is expressed out of the moistened HA/PP mixture prior to implantation and setting by pressing it in a non-tapered syringe against a glass plate. This results in implants with faster setting times and greater mechanical strengths. It was therefore of interest to compare samples of the compressed versus noncompressed mixtures to see whether or not any changes in their microstructure after setting could be related to these different properties.USG Medical Grade Calcium Sulfate Hemihydrate (which has the lowest mortar consistency of any known plaster) was mixed with an equal weight of Interpore 200 particles (a commercial form of PHA). After moistening with a minimum amount of water, disc-shaped noncompressed samples were made by filling small holes (0.339 in. diameter x 0.053 in. deep) in polypropylene molds with a microspatula.

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